NDLI: Fire Detection and Fire Characterization Over Africa Using Meteosat SEVIRI

Content Provider	IEEE Xplore Digital Library
Author	Roberts, G.J. Wooster, M.J.
Copyright Year	1980
Abstract	Africa is the single largest continental source of biomass burning emissions and one where emission source strengths are characterized by strong diurnal and seasonal cycles. This paper describes the development of a fire detection and characterization algorithm for generating high temporal resolution African pyrogenic emission data sets using data from the geostationary spinning enhanced visible and infrared imager (SEVIRI). The algorithm builds on a prototype approach tested previously with preoperational SEVIRI data and utilizes both spatial and spectral detection methods whose thresholds adapt contextually within and between imaging slots. Algorithm validation is carried out via comparison to data from ~800 temporally coincident moderate resolution imaging spectroradiometer (MODIS) scenes, and performance is significantly improved over the prior algorithm version, particularly in terms of detecting low fire radiative power (FRP) signals. On a per-fire basis, SEVIRI shows a good agreement with MODIS in terms of FRP measurement, with a small (3.7 MW) bias. In comparison to regional-scale total FRP derived from MODIS, SEVIRI underestimates this by, on average, 40% to 50% due to the nondetection of many low-intensity fire pixels (FRP < 50 MW). Frequency-magnitude analysis can be used to adjust fire radiative energy estimates for this effect, and taking this and other adjustments into account, SEVIRI-derived fuel consumption estimates for southern Africa from July to October 2004 are 259-339 Tg, with emission intensity peaking after midday and reducing by more than an order of magnitude each night.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	1200
Ending Page	1218
Page Count	19
File Size	1965708
File Format	PDF
ISSN	01962892
Volume Number	46
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fires Africa MODIS Fiber reinforced plastics Frequency estimation Infrared detectors Biomass Character generation Spatial resolution Image resolution remote sensing Carbon fires
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Technique for Classifying Uncertain MOD35/MYD35 Pixels Through Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imager Observations

Image Mining for Modeling of Forest Fires From Meteosat Images

Geometric Accuracy Investigations of SEVIRI High Resolution Visible (HRV) Level 1.5 Imagery

Emissivity maps to retrieve land-surface temperature from MSG/SEVIRI

Detailed evaluation of modis fire radiative power measurements

Burned-Area Mapping of the Serengeti–Mara Region Using MODIS Reflectance Data

Combined Use of SEVIRI and MODIS for Detecting, Measuring, and Monitoring Active Lava Flows at Erupting Volcanoes

Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data

Validation of active fire detection from moderate-resolution satellite sensors: the MODIS example in northern eurasia

Fire Detection and Fire Characterization Over Africa Using Meteosat SEVIRI

Similar Documents

A Technique for Classifying Uncertain MOD35/MYD35 Pixels Through Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imager Observations

Image Mining for Modeling of Forest Fires From Meteosat Images

Geometric Accuracy Investigations of SEVIRI High Resolution Visible (HRV) Level 1.5 Imagery

Emissivity maps to retrieve land-surface temperature from MSG/SEVIRI

Detailed evaluation of modis fire radiative power measurements

Burned-Area Mapping of the Serengeti–Mara Region Using MODIS Reflectance Data

Combined Use of SEVIRI and MODIS for Detecting, Measuring, and Monitoring Active Lava Flows at Erupting Volcanoes

Retrieval of Aerosol Optical Depth from Optimal Interpolation Approach Applied to SEVIRI Data

Validation of active fire detection from moderate-resolution satellite sensors: the MODIS example in northern eurasia

Fire Detection and Fire Characterization Over Africa Using Meteosat SEVIRI